[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
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Updated
Apr 4, 2023 - Python
[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Extended Social Force Model in Python for social navigation research
A vehicle-pedestrian interaction framework for simulation.
Modelling crowd behaviour in panic sitations
A crowd simulation backend for Omniverse Create
Crowd Simulation using Social Force Model
Agent-based simulation of social interaction (Social Force Model and Self-Propelled Brownian Particles)
An infrastructure built using PyGame and OpenAI Gymnasium used to train robots within a social navigation context with a wide range of human motion models to simulate crowds of pedestrians.
Extended Social Force Model in Python for social navigation research
Doorway Scenarios Investigated: Faster-Is-Slower Effect is NOT well observed
Analyzing Pedestrian Social Distancing
Calibration of the significant Social Force Parameters in Vissim
training environment for the simulation of a robot moving in a pedestrian-filled space
An implementation of a simple Social Force model in JAX
A JAX based implementation of the Headed Social Force Model in Python to simulate realistic human motion.
An environment based on JAX to train mobile robots within crowded environments. Includes several human motion models, several RL algorithms for social navigation and implements fast training and computing thanks to JAX.
Modeling and simulation of complex social groups with opinion dynamics
A JAX based implementation of the Social Force Model in Python to simulate realistic human motion.
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